Pipenv: tensorflow/html5lib "Sus dependencias no se pudieron resolver" pero no puedo ver el problema

Dios mío, ¿es esto real?

para colmo, estas versiones extravagantes tienen vulnerabilidades de seguridad

$ pipenv check
Checking PEP 508 requirements…
Passed!
Checking installed package safety…
25846: html5lib <0.99999999 resolved (0.9999999 installed)!
html5lib before 0.99999999 is vulnerable to a XSS attack. Upgrading avoids the XSS bug potentially caused by serializer allowing attribute values to be escaped out of in old browser versions, changing the quote_attr_values option on serializer to take one of three values, "always" (the old True value), "legacy" (the new option,  and the new default), and "spec" (the old False value, and the old default).

35693: html5lib <0.99999999 resolved (0.9999999 installed)!
The serializer in html5lib before 0.99999999 might allow remote attackers to conduct cross-site scripting (XSS) attacks by leveraging mishandling of the < (less than) character in attribute values.

35694: html5lib <0.99999999 resolved (0.9999999 installed)!
The serializer in html5lib before 0.99999999 might allow remote attackers to conduct cross-site scripting (XSS) attacks by leveraging mishandling of special characters in attribute values, a different vulnerability than CVE-2016-9909.

34965: bleach <2.1 resolved (1.5.0 installed)!
bleach 2.1 converts control characters (backspace particularly) to "?" preventing malicious copy-and-paste situations.

Creo que la parte del problema es:
Could not find a version that matches html5lib...==0.9999999,>=0.99999999pre

No veo de dónde viene el especificador >=0.99999999pre , no se menciona en el resultado de pipenv graph

aparentemente proviene del paquete bleach , pero no de la versión instalada:

bleach [required: ==1.5.0, installed: 1.5.0]

comparar:
https://github.com/mozilla/bleach/blob/v1.5/setup.py

https://github.com/mozilla/bleach/blob/v2.1.3/setup.py

Descargué el tarball 1.5.0 de PyPI para confirmar

el setup.py contiene:

install_requires = [
    'six',
    # 3 9s up to but not including 8 9s, but not 4 9s or 5 9s because they're
    # busted
    'html5lib>=0.999,!=0.9999,!=0.99999,<0.99999999',
]

pero la metainformación en la página de PyPI para el paquete muestra los requisitos de la última versión (naturalmente):

Requiere Distribuciones
html5lib (!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre)
seis

algun problema aqui?

leyendo más arriba el hilo del problema de tensorboard vinculado anteriormente ...

para confundir aún más las cosas, pip tiene su propia versión de html5lib
https://github.com/pypa/pip/blob/9.0.1/pip/_vendor/html5lib/__init__.py
https://github.com/pypa/pip/blob/9.0.1/pip/_vendor/vendor.txt

html5lib==1.0b10

no estoy seguro si eso está involucrado de alguna manera horrible

estas usando lo ultimo?

Estoy dentro del shell pipenv de mi proyecto

pipenv, version 11.6.1
pip 9.0.1
python 3.6

Los metadatos dentro de Bleach 1.5.0 _wheel_ de PyPI también se ven correctos

el conflicto informó:

Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre

parece coincidir exactamente con los requisitos en la versión _latest_ (2.1.3) de Bleach en su lugar

install_requires = [
    'six',
    # >= 8 9s because of breaking API change
    # the 'pre' suffix is needed for supporting '1.0b*' versions
    'html5lib>=0.99999999pre,!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8',
]

agregado al requisito de tensorboard https://github.com/tensorflow/tensorboard/blob/0.1.8/tensorboard/pip_package/setup.py

REQUIRED_PACKAGES = [
    'numpy >= 1.11.0',
    'six >= 1.10.0',
    'protobuf >= 3.2.0',
    'werkzeug >= 0.11.10',
    'html5lib == 0.9999999',  # identical to 1.0b8
    'markdown >= 2.6.8',
    'bleach == 1.5.0',
]

Entonces, parece que algo extraño está sucediendo al determinar los requisitos para la lejía == 1.5.0

Estoy teniendo el mismo problema. pipenv install queja de que las dependencias necesitan cryptography<1.0,>=1.7.2,>=1.8.1,>=1.8.2,>=1.9 (lo que obviamente nunca se puede resolver), pero no puedo ver ninguno de mis paquetes que requieran cryptography<1.0 en pipenv graph . No sé qué hacer, porque no se instalará en absoluto.

@skorokithakis por favor abra un tema separado

@anentropic has probado la última versión de pipenv?

@anentropic también, por favor, no ejecute pipenv desde _dentro_ del shell pipenv, esto no está destinado a funcionar. Vuelva a intentarlo desde _fuera_ del shell de pipenv e infórmenos si todavía está roto

@techalchemy eh, sí lo es.

ese es literalmente el principal diseño principal detrás de este proyecto

Ok, actualicé pipenv 11.6.1 --> 11.6.9

el mismo problema

$ pipenv --version
pipenv, version 11.6.9
$ pipenv lock
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

No puedo decir qué está pasando con estos números de versión.

Sin embargo, puedo decirles que esto no es probable que cambie en el corto plazo.

claro, seguiré investigando si encuentro algo

algunos detalles más:

• No tengo Pipfile.lock en este momento (no se puede crear uno)
• Intenté desactivar mi shell pipenv, eliminar la carpeta virtualenv asociada y ejecutar pipenv install (es decir, empezar de cero)... el mismo problema

También puedo reproducir con un ejemplo mínimo... en un nuevo shell, crear un directorio vacío, el siguiente Pipfile y ejecutar pipenv install

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

tensorflow = "*"


[requires]

python_version = "3.6"

pipenv lock --verbose debería arrojar algo de luz sobre esto

==0.9999999,>=0.99999999pre parece irresoluble.

este esquema de versiones es simplemente absurdo

el punto es que el requisito de >=0.99999999pre se atribuye a bleach==1.5.0 pero ese proyecto en esa versión no especifica esa dependencia

No sé de dónde pipenv o las herramientas subyacentes obtienen la información de dependencia, ¿el servidor PyPI miente de alguna manera?

Aquí está la salida detallada:

Locking [dev-packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:

Finding the best candidates:

Finding secondary dependencies:
------------------------------------------------------------
Result of round 1: stable, done

Locking [packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:
  tensorflow

Finding the best candidates:
  found candidate tensorflow==1.6.0 (constraint was <any>)

Finding secondary dependencies:
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26

New dependencies found in this round:
  adding ['absl-py', '>=0.1.6', '[]']
  adding ['astor', '>=0.6.0', '[]']
  adding ['gast', '>=0.2.0', '[]']
  adding ['grpcio', '>=1.8.6', '[]']
  adding ['numpy', '>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['tensorboard', '<1.7.0,>=1.6.0', '[]']
  adding ['termcolor', '>=1.1.0', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  gast>=0.2.0
  grpcio>=1.8.6
  numpy>=1.13.3
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate numpy==1.14.2 (constraint was >=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0)
  found candidate six==1.11.0 (constraint was >=1.10.0)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  absl-py==0.1.11           requires six
  wheel==0.30.0             requires -
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  termcolor==1.1.0          requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  protobuf==3.5.2           requires setuptools, six>=1.9
  gast==0.2.0               requires -
  astor==0.6.2              requires -
  numpy==1.14.2             requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  six==1.11.0               requires -

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '==0.9999999', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0,>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0,>=3.5.0.post1', '[]']
  adding ['six', '>=1.10.0,>=1.5.2,>=1.9', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
Removed dependencies in this round:
  removing ['numpy', '>=1.13.3', '[]']
  removing ['protobuf', '>=3.4.0', '[]']
  removing ['six', '>=1.10.0', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 2: not stable

                          ROUND 3
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib==0.9999999
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate html5lib==0.9999999 (constraint was ==0.9999999)
  found candidate markdown==2.6.11 (constraint was >=2.6.8)
  found candidate numpy==1.14.2 (constraint was >=1.12.0,>=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0,>=3.5.0.post1)
  found candidate six==1.11.0 (constraint was >=1.10.0,>=1.5.2,>=1.9)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate werkzeug==0.14.1 (constraint was >=0.11.10)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  numpy==1.14.2             requires -
  werkzeug==0.14.1          requires -
  absl-py==0.1.11           requires six
  html5lib==0.9999999       requires six>=1.9, webencodings
  gast==0.2.0               requires -
  bleach==1.5.0             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  protobuf==3.5.2           requires setuptools, six>=1.9
  markdown==2.6.11          requires -
  six==1.11.0               requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  astor==0.6.2              requires -
  termcolor==1.1.0          requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2

New dependencies found in this round:
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['webencodings', '', '[]']
Removed dependencies in this round:
  removing ['html5lib', '==0.9999999', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 3: not stable

                          ROUND 4
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  webencodings
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
Using pip: -i https://pypi.python.org/simple

                          ROUND 1
Current constraints:
  tensorflow

Finding the best candidates:
  found candidate tensorflow==1.6.0 (constraint was <any>)

Finding secondary dependencies:
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26

New dependencies found in this round:
  adding ['absl-py', '>=0.1.6', '[]']
  adding ['astor', '>=0.6.0', '[]']
  adding ['gast', '>=0.2.0', '[]']
  adding ['grpcio', '>=1.8.6', '[]']
  adding ['numpy', '>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['tensorboard', '<1.7.0,>=1.6.0', '[]']
  adding ['termcolor', '>=1.1.0', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  gast>=0.2.0
  grpcio>=1.8.6
  numpy>=1.13.3
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate numpy==1.14.2 (constraint was >=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0)
  found candidate six==1.11.0 (constraint was >=1.10.0)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  astor==0.6.2              requires -
  six==1.11.0               requires -
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  numpy==1.14.2             requires -
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  wheel==0.30.0             requires -
  protobuf==3.5.2           requires setuptools, six>=1.9
  termcolor==1.1.0          requires -
  absl-py==0.1.11           requires six
  gast==0.2.0               requires -

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '==0.9999999', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0,>=1.13.3', '[]']
  adding ['protobuf', '>=3.4.0,>=3.5.0.post1', '[]']
  adding ['six', '>=1.10.0,>=1.5.2,>=1.9', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
Removed dependencies in this round:
  removing ['numpy', '>=1.13.3', '[]']
  removing ['protobuf', '>=3.4.0', '[]']
  removing ['six', '>=1.10.0', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 2: not stable

                          ROUND 3
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib==0.9999999
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)
  found candidate html5lib==0.9999999 (constraint was ==0.9999999)
  found candidate markdown==2.6.11 (constraint was >=2.6.8)
  found candidate numpy==1.14.2 (constraint was >=1.12.0,>=1.13.3)
  found candidate protobuf==3.5.2 (constraint was >=3.4.0,>=3.5.0.post1)
  found candidate six==1.11.0 (constraint was >=1.10.0,>=1.5.2,>=1.9)
  found candidate tensorboard==1.6.0 (constraint was >=1.6.0,<1.7.0)
  found candidate tensorflow==1.6.0 (constraint was <any>)
  found candidate termcolor==1.1.0 (constraint was >=1.1.0)
  found candidate werkzeug==0.14.1 (constraint was >=0.11.10)
  found candidate wheel==0.30.0 (constraint was >=0.26)

Finding secondary dependencies:
  protobuf==3.5.2           requires setuptools, six>=1.9
  html5lib==0.9999999       requires six>=1.9, webencodings
  gast==0.2.0               requires -
  bleach==1.5.0             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  tensorflow==1.6.0         requires absl-py>=0.1.6, astor>=0.6.0, gast>=0.2.0, grpcio>=1.8.6, numpy>=1.13.3, protobuf>=3.4.0, six>=1.10.0, tensorboard<1.7.0,>=1.6.0, termcolor>=1.1.0, wheel>=0.26
  markdown==2.6.11          requires -
  termcolor==1.1.0          requires -
  astor==0.6.2              requires -
  numpy==1.14.2             requires -
  six==1.11.0               requires -
  absl-py==0.1.11           requires six
  tensorboard==1.6.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  grpcio==1.10.0            requires protobuf>=3.5.0.post1, six>=1.5.2
  wheel==0.30.0             requires -
  werkzeug==0.14.1          requires -

New dependencies found in this round:
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['webencodings', '', '[]']
Removed dependencies in this round:
  removing ['html5lib', '==0.9999999', '[]']
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 3: not stable

                          ROUND 4
Current constraints:
  absl-py>=0.1.6
  astor>=0.6.0
  bleach==1.5.0
  gast>=0.2.0
  grpcio>=1.8.6
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0,>=1.13.3
  protobuf>=3.4.0,>=3.5.0.post1
  six>=1.10.0,>=1.5.2,>=1.9
  tensorboard<1.7.0,>=1.6.0
  tensorflow
  termcolor>=1.1.0
  webencodings
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate absl-py==0.1.11 (constraint was >=0.1.6)
  found candidate astor==0.6.2 (constraint was >=0.6.0)
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
  found candidate gast==0.2.0 (constraint was >=0.2.0)
  found candidate grpcio==1.10.0 (constraint was >=1.8.6)

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Mira, no vamos a poder hacer nada al respecto.

prueba 11.8.0

¡Éxito!

Creo que encontré un error similar con django y django_pyodbc_azure. Necesito instalar las versiones <2, así que ejecuto este comando:

pipenv install django<2 django-pyodbc-azure<2

Esto es lo que obtengo:

Installing django<2…
Collecting django<2
  Using cached Django-1.11.11-py2.py3-none-any.whl
Collecting pytz (from django<2)
  Using cached pytz-2018.3-py2.py3-none-any.whl
Installing collected packages: pytz, django
Successfully installed django-1.11.11 pytz-2018.3

Adding django<2 to Pipfile's [packages]…
Installing django-pyodbc-azure<2…
Collecting django-pyodbc-azure<2
  Using cached django_pyodbc_azure-1.11.11.0-py2.py3-none-any.whl
Collecting pyodbc>=3.0 (from django-pyodbc-azure<2)
  Using cached pyodbc-4.0.22-cp36-cp36m-win_amd64.whl
Requirement already satisfied: Django<2.0,>=1.11.11 in c:\users\msopko\.virtualenvs\kml_internal--4e53ydp\lib\site-packages (from django-pyodbc-azure<2)
Requirement already satisfied: pytz in c:\users\msopko\.virtualenvs\kml_internal--4e53ydp\lib\site-packages (from Django<2.0,>=1.11.11->django-pyodbc-azure<2)
Installing collected packages: pyodbc, django-pyodbc-azure
Successfully installed django-pyodbc-azure-1.11.11.0 pyodbc-4.0.22

Adding django-pyodbc-azure<2 to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches django<2,<2.1,>=2.0.3
Tried: 1.1.3, 1.1.4, 1.2, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.2.6, 1.2.7, 1.3, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.3.6, 1.3.7, 1.4, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5, 1.4.6, 1.4.7, 1.4.8, 1.4.9, 1.4.10, 1.4.11, 1.4.12, 1.4.13, 1.4.14, 1.4.15, 1.4.16, 1.4.17, 1.4.18, 1.4.19, 1.4.20, 1.4.21, 1.4.22, 1.5, 1.5.1, 1.5.2, 1.5.2, 1.5.3, 1.5.4, 1.5.5, 1.5.6, 1.5.7, 1.5.8, 1.5.8, 1.5.9, 1.5.10, 1.5.11, 1.5.12, 1.5.12, 1.6, 1.6, 1.6.1, 1.6.1, 1.6.2, 1.6.2, 1.6.3, 1.6.3, 1.6.4, 1.6.4, 1.6.5, 1.6.5, 1.6.6, 1.6.6, 1.6.7, 1.6.7, 1.6.8, 1.6.8, 1.6.9, 1.6.9, 1.6.10, 1.6.10, 1.6.11, 1.6.11, 1.7, 1.7, 1.7.1, 1.7.1, 1.7.2, 1.7.2, 1.7.3, 1.7.3, 1.7.4, 1.7.4, 1.7.5, 1.7.5, 1.7.6, 1.7.6, 1.7.7, 1.7.7, 1.7.8, 1.7.8, 1.7.9, 1.7.9, 1.7.10, 1.7.10, 1.7.11, 1.7.11, 1.8a1, 1.8b1, 1.8b2, 1.8rc1, 1.8, 1.8, 1.8.1, 1.8.1, 1.8.2, 1.8.2, 1.8.3, 1.8.3, 1.8.4, 1.8.4, 1.8.5, 1.8.5, 1.8.6, 1.8.6, 1.8.7, 1.8.7, 1.8.8, 1.8.8, 1.8.9, 1.8.9, 1.8.10, 1.8.10, 1.8.11, 1.8.11, 1.8.12, 1.8.12, 1.8.13, 1.8.13, 1.8.14, 1.8.14, 1.8.15, 1.8.15, 1.8.16, 1.8.16, 1.8.17, 1.8.17, 1.8.18, 1.8.18, 1.8.19, 1.8.19, 1.9a1, 1.9b1, 1.9rc1, 1.9rc2, 1.9, 1.9, 1.9.1, 1.9.1, 1.9.2, 1.9.2, 1.9.3, 1.9.3, 1.9.4, 1.9.4, 1.9.5, 1.9.5, 1.9.6, 1.9.6, 1.9.7, 1.9.7, 1.9.8, 1.9.8, 1.9.9, 1.9.9, 1.9.10, 1.9.10, 1.9.11, 1.9.11, 1.9.12, 1.9.12, 1.9.13, 1.9.13, 1.10a1, 1.10a1, 1.10b1, 1.10b1, 1.10rc1, 1.10rc1, 1.10, 1.10, 1.10.1, 1.10.1, 1.10.2, 1.10.2, 1.10.3, 1.10.3, 1.10.4, 1.10.4, 1.10.5, 1.10.5, 1.10.6, 1.10.6, 1.10.7, 1.10.7, 1.10.8, 1.10.8, 1.11a1, 1.11b1, 1.11rc1, 1.11rc1, 1.11, 1.11, 1.11.1, 1.11.1, 1.11.2, 1.11.2, 1.11.3, 1.11.3, 1.11.4, 1.11.4, 1.11.5, 1.11.5, 1.11.6, 1.11.6, 1.11.7, 1.11.7, 1.11.8, 1.11.8, 1.11.9, 1.11.9, 1.11.10, 1.11.10, 1.11.11, 1.11.11, 2.0a1, 2.0b1, 2.0rc1, 2.0, 2.0, 2.0.1, 2.0.1, 2.0.2, 2.0.2, 2.0.3, 2.0.3

Resolví este error especificando la rama:
django-pyodbc-azure = {git = "https://github.com/michiya/django-pyodbc-azure", ref = "azure-1.11"}

He actualizado a 11.8.0 pero todavía tengo el mismo problema

sin embargo, mi colega no pudo reproducirlo a partir de mi ejemplo mínimo

Actualmente estoy depurando y publicaré más información cuando tenga algunos

bien, esto es raro

Lo hice funcionar por:

$ pyenv virtualenv pipenvtemp
$ pyenv activate pipenvtemp
pipenvtemp > $ pip install pipenv
pipenvtemp > $ pipenv lock

Sin embargo, esto ahora ha roto mi instalación 'externa' de pipenv:

pipenvtemp > $ source deactivate
$ pipenv lock
pyenv: pipenv: command not found

The `pipenv' command exists in these Python versions:
  2.7.11/envs/pipenvtemp
  pipenvtemp

$ pipsi install pipenv
pipenv is already installed

entonces tengo una interacción horrible entre pyenv-virtualenv, pipsi y pipenv en mi sistema

Pensé que había seguido fielmente las instrucciones de instalación, pero tal vez el estado actual de mi sistema no era compatible

Creo que ahora tengo que intentar eliminar todos mis pitones y configurar mi entorno de desarrollo desde cero 😢

Oh, es específico de Python 3 de alguna manera, probé el truco pyenv-virtualenv anterior con mi proyecto real y no funcionó.

Y si lo intento de nuevo con el ejemplo mínimo, pero usando Python 3.6.4 en lugar de 2.7, entonces no funciona:

$ pyenv virtualenv 3.6.4 pipenvtemp-py3
$ pyenv activate pipenvtemp-py3
pipenvtemp-py3 > $ pip install pipenv
pipenvtemp-py3 > $ rm Pipfile.lock
pipenvtemp-py3 > $ pipenv lock
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project.
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

@anentropic simplemente desinstale todos los pipenvs que tiene, en todas partes, y vuelva a instalarlos usando el sistema 3.6.4 con --user

Bueno, encontré el problema y una solución, si no una explicación de cómo sucedió.

Pasé un tiempo recorriendo el código subyacente, es decir

from pipenv.patched.piptools.repositories import PyPIRepository
from pipenv.patched.piptools.scripts.compile import get_pip_command
from pipenv.patched.notpip.req.req_install import InstallRequirement
from pipenv.patched.piptools.resolver import Resolver

pip_command = get_pip_command()
pip_options, _ = pip_command.parse_args([])
session = pip_command._build_session(pip_options)
pypi = PyPIRepository(pip_options=pip_options, use_json=False, session=session)

# first observe that this returns correct constraints:
ireq = InstallRequirement.from_line('bleach==1.5.0')
pypi.get_dependencies(ireq)
{<InstallRequirement object: six (from bleach==1.5.0) editable=False>,
 <InstallRequirement object: html5lib!=0.9999,!=0.99999,<0.99999999,>=0.999 (from bleach==1.5.0) editable=False>}

# I added the following breakpoint at pipenv/patched/piptools/resolver.py:200
            if str(best_match.req) == 'bleach==1.5.0':
                import ipdb; ipdb.set_trace()

# then ran the resolver:
ireq = InstallRequirement.from_line('tensorflow==1.3.0')
resolver = Resolver(constraints=[ireq], repository=pypi)
resolver.resolve()

# stepping through we fail this check, showing that 'html5lib' is already in the cache
    if ireq not in self.dependency_cache:

# so next it fetches dep from cache:
ipdb> pp self.dependency_cache[ireq]
['html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre',
 'six']
# aha!
ipdb> self.dependency_cache._cache_file
'/Users/anentropic/Library/Caches/pipenv/depcache-py3.6.json'

De alguna manera, el requisito falso de html5lib>=0.99999999pre había atascado en el archivo de caché de dependencia.

Ahora sabía qué hacer...

pipenvtemp-py3 $ rm /Users/anentropic/Library/Caches/pipenv/depcache-py3.6.json
pipenvtemp-py3 $ pipenv lock
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project.
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Éxito: el archivo de bloqueo se creó sin errores.

Esto también explica por qué funcionó en Python 2.7; supongo que porque pipenv tiene un archivo de caché de dependencia separado por versión de python.

@anentropic gracias por la actualización! Deberíamos haberlo recomendado directamente, ¡error, me alegro de que lo hayas solucionado!

@anentropic @techalchemy Estoy enfrentando el mismo problema, pero eliminar /Users/.../Library/Caches/pipenv/depcache-py3.6.json no me ayudó. ¿Alguna sugerencia sobre qué más puedo probar? ¡Gracias!

  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==1.0b8,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

@henadzit Proporcione información para su plataforma. Abra un problema nuevo para ver qué información se espera para depurar su problema. No necesita enviar un nuevo problema, solo necesita verificar los campos y proporcionarlos según corresponda aquí.

@uranusjr , claro! Aquí está

Versión de Pipenv: '11.9.0'

Ubicación de Pipenv: '/Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/lib/python3.6/site-packages/pipenv'

Ubicación de Python: '/Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python'

Otras instalaciones de Python en PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3.6m
• 3.6 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

PEP 508 Información:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Variables de entorno del sistema:

• TERM_PROGRAM
• PIP_PYTHON_PATH
• TERM
• SHELL
• TMPDIR
• DOCKER_HOST
• Apple_PubSub_Socket_Render
• PYTHONUNBUFFERED
• TERM_PROGRAM_VERSION
• TERM_SESSION_ID
• USER
• DOCKER_MACHINE_NAME
• CPATH
• SSH_AUTH_SOCK
• __CF_USER_TEXT_ENCODING
• VIRTUAL_ENV
• DOCKER_TLS_VERIFY
• PIPENV_ACTIVE
• PATH
• PWD
• JAVA_HOME
• LETSENCRYPT_CERTS_FOLDER
• LANG
• DOPEOPLESAY_WEB_SECRET_KEY_BASE
• ITERM_PROFILE
• XPC_FLAGS
• PS1
• PYTHONDONTWRITEBYTECODE
• RBENV_SHELL
• XPC_SERVICE_NAME
• PYENV_SHELL
• DOCKER_CERT_PATH
• SHLVL
• HOME
• COLORFGBG
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• _

Variables de entorno específicas de Pipenv:

• PIPENV_ACTIVE : 1

Variables de entorno específicas de depuración:

• PATH : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf/bin:/usr/local/Cellar/pipenv/11.9.0/libexec/tools:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver:/Users/henadzit/.rvm/bin
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/dopeoplesayit
• VIRTUAL_ENV : /Users/henadzit/.local/share/virtualenvs/dopeoplesayit-BfIykoUf

Contenido de Pipfile ('/Users/henadzit/workspace/dopeoplesayit/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

falcon = "==1.3.0"
gunicorn = "==19.7.1"
hunspell = "==0.5.0"
nltk = "==3.2.4"
pysolr = "==3.7.0"
pytest = "==3.1.2"
pytest-mock = "==1.6.3"
requests = "==2.18.4"


[dev-packages]

jupyter = "*"
spacy = "*"
matplotlib = "*"


[requires]

python_version = "3.6.4"

@uranusjr , perdón por molestarlo, pero ¿ha tenido la oportunidad de ver el resultado en mi comentario anterior? ¡Muchas gracias!

@henadzit no active el pipenv shell antes de ejecutar la resolución de dependencia. Desde _fuera_ del shell pipenv, pruebe pipenv lock --verbose --clear y vea si esto resuelve el problema

@techalchemy , ¡gracias por la sugerencia! Lo intenté pero desafortunadamente terminé con el mismo error.

Aquí está la salida de pipenv.help sin pipenv shell .

Versión de Pipenv: '11.9.0'

Ubicación de Pipenv: '/Users/henadzit/.pyenv/versions/3.6.4/lib/python3.6/site-packages/pipenv'

Ubicación de Python: '/Users/henadzit/.pyenv/versions/3.6.4/bin/python'

Otras instalaciones de Python en PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3.6m
• 3.6 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/.pyenv/versions/3.6.4/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

PEP 508 Información:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Variables de entorno del sistema:

• TERM_PROGRAM
• PYENV_ROOT
• SHELL
• TERM
• TMPDIR
• Apple_PubSub_Socket_Render
• DOCKER_HOST
• TERM_PROGRAM_VERSION
• TERM_SESSION_ID
• PYENV_VERSION
• USER
• DOCKER_MACHINE_NAME
• SSH_AUTH_SOCK
• CPATH
• PYENV_DIR
• __CF_USER_TEXT_ENCODING
• DOCKER_TLS_VERIFY
• PATH
• PWD
• JAVA_HOME
• LANG
• ITERM_PROFILE
• PYENV_HOOK_PATH
• XPC_FLAGS
• RBENV_SHELL
• XPC_SERVICE_NAME
• COLORFGBG
• HOME
• SHLVL
• DOCKER_CERT_PATH
• PYENV_SHELL
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• PYTHONDONTWRITEBYTECODE
• PIP_PYTHON_PATH
• PYTHONUNBUFFERED

Variables de entorno específicas de Pipenv:

Variables de entorno específicas de depuración:

• PATH : /Users/henadzit/.pyenv/versions/3.6.4/bin:/usr/local/Cellar/pyenv/1.2.2/libexec:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/dopeoplesayit

Contenido de Pipfile ('/Users/henadzit/workspace/dopeoplesayit/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

falcon = "==1.3.0"
gunicorn = "==19.7.1"
hunspell = "==0.5.0"
nltk = "==3.2.4"
pysolr = "==3.7.0"
pytest = "==3.1.2"
pytest-mock = "==1.6.3"
requests = "==2.18.4"


[dev-packages]

jupyter = "*"
spacy = "*"
matplotlib = "*"


[requires]

python_version = "3.6.4"

🤔 Intente eliminar todo el directorio de caché manualmente .

@henadzit pruebe pipenv lock --clear o borre cualquiera de los siguientes directorios, si existen:

/Users/.../Library/Caches/pipenv
/Users/.../Library/Caches/pip-tools
/Users/.../Library/Caches/pip

@uranusjr @techalchemy , ¡gracias por intentar ayudarme! Intenté todo lo que me sugeriste y no tuve suerte. Creé un nuevo Pipfile con solo dos paquetes y recibo el mismo error. A continuación se muestra la salida de pipenv.help . Estoy a punto de intentar ejecutar este PIpfile en la ventana acoplable para ver si es solo mi entorno.

Versión de Pipenv: '11.9.0'

Ubicación de Pipenv: '/usr/local/Cellar/pipenv/11.9.0/libexec/lib/python3.6/site-packages/pipenv'

Ubicación de Python: '/usr/local/Cellar/pipenv/11.9.0/libexec/bin/python3'

Otras instalaciones de Python en PATH :

• 2.7 : /usr/bin/python2.7
• 2.7 : /usr/bin/python2.7
• 3.6 : /Users/henadzit/anaconda3/bin/python3.6m
• 3.6 : /Users/henadzit/anaconda3/bin/python3.6
• 3.6 : /Users/henadzit/.pyenv/shims/python3.6
• 3.6 : /usr/local/bin/python3.6

• 3.6 : /usr/local/bin/python3.6

• 3.6.4 : /Users/henadzit/anaconda3/bin/python

• 3.6.4 : /Users/henadzit/.pyenv/shims/python
• 2.7.10 : /usr/bin/python
• 3.6.4 : /Users/henadzit/anaconda3/bin/python3
• 3.6.4 : /Users/henadzit/.pyenv/shims/python3
• 3.6.4 : /usr/local/bin/python3
• 3.6.4 : /usr/local/bin/python3

PEP 508 Información:

{'implementation_name': 'cpython',
 'implementation_version': '3.6.4',
 'os_name': 'posix',
 'platform_machine': 'x86_64',
 'platform_python_implementation': 'CPython',
 'platform_release': '17.4.0',
 'platform_system': 'Darwin',
 'platform_version': 'Darwin Kernel Version 17.4.0: Sun Dec 17 09:19:54 PST '
                     '2017; root:xnu-4570.41.2~1/RELEASE_X86_64',
 'python_full_version': '3.6.4',
 'python_version': '3.6',
 'sys_platform': 'darwin'}

Variables de entorno del sistema:

• TERM_PROGRAM
• TERM
• SHELL
• TMPDIR
• DOCKER_HOST
• Apple_PubSub_Socket_Render
• TERM_PROGRAM_VERSION
• OLDPWD
• TERM_SESSION_ID
• USER
• LD_LIBRARY_PATH
• DOCKER_MACHINE_NAME
• CPATH
• SSH_AUTH_SOCK
• __CF_USER_TEXT_ENCODING
• DOCKER_TLS_VERIFY
• PATH
• PWD
• JAVA_HOME
• LANG
• ITERM_PROFILE
• XPC_FLAGS
• RBENV_SHELL
• XPC_SERVICE_NAME
• PYENV_SHELL
• DOCKER_CERT_PATH
• SHLVL
• HOME
• COLORFGBG
• ITERM_SESSION_ID
• LOGNAME
• PKG_CONFIG_PATH
• DISPLAY
• _
• PYTHONDONTWRITEBYTECODE
• PIP_PYTHON_PATH
• PYTHONUNBUFFERED

Variables de entorno específicas de Pipenv:

Variables de entorno específicas de depuración:

• PATH : /Users/henadzit/anaconda3/bin:/Users/henadzit/.pyenv/shims:/Users/henadzit/.rbenv/shims:/Users/henadzit/.rbenv/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Users/henadzit/workspace/geckodriver:/Users/henadzit/workspace/torch/install/bin
• SHELL : /bin/bash
• LANG : en_US.UTF-8
• PWD : /Users/henadzit/workspace/pipenv-html5lib-issue

Contenido de Pipfile ('/Users/henadzit/workspace/pipenv-html5lib-issue/Pipfile'):

[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]
jupyter = "==1.0.0"
spacy = "==2.0.10"

[dev-packages]

[requires]

python_version = "3.6.4"

@uranusjr @techalchemy , parece que el problema no está relacionado con mi entorno. Pude reproducir el problema en el entorno completamente limpio de Docker. Creé un repositorio para mostrar el problema, por favor, eche un vistazo si tiene la oportunidad: https://github.com/henadzit/pipenv-html5lib-issue.

@henadzit Tus dependencias en realidad no se resuelven. Este es un problema con spaCy: https://github.com/explosion/spaCy/issues/2181.

@henadzit Debido a que spaCy está eliminando su versión requerida en 2.0.11, se sintió más correcto usar la versión de TensorFlow. No estoy seguro de cuál es la forma canónica de hacer esto, pero simplemente (temporalmente, espero) saqué tensorflow de mi Pipfile e instalé mis paquetes de esta manera:

pipenv install
pip install tensorflow

@romanczuk , ¡actualicé Spacy y resolvió el problema! ¡Gracias a todos por su ayuda!

Para mí el problema aún persiste. Estoy tratando de instalar tanto tensorflow como jupyter[notebook] . Mientras que el primero fija bleach==1.5.0 , el bleach . Esta dependencia parece agregar la restricción >=0.99999999pre .

Puedo recrear el comportamiento al intentar instalar lejía (sin fijar) y tensorboard (que fija la versión de lejía):

pipenv install bleach tensorboard
Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing bleach…
Collecting bleach
  Using cached bleach-2.1.3-py2.py3-none-any.whl
Collecting six (from bleach)
  Using cached six-1.11.0-py2.py3-none-any.whl
Collecting html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre (from bleach)
  Using cached html5lib-1.0.1-py2.py3-none-any.whl
Collecting webencodings (from html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre->bleach)
  Using cached webencodings-0.5.1-py2.py3-none-any.whl
Installing collected packages: six, webencodings, html5lib, bleach
Successfully installed bleach-2.1.3 html5lib-1.0.1 six-1.11.0 webencodings-0.5.1

Adding bleach to Pipfile's [packages]…
Installing tensorboard…
Collecting tensorboard
  Using cached tensorboard-1.7.0-py3-none-any.whl
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Using cached Werkzeug-0.14.1-py2.py3-none-any.whl
Collecting bleach==1.5.0 (from tensorboard)
  Using cached bleach-1.5.0-py2.py3-none-any.whl
Collecting numpy>=1.12.0 (from tensorboard)
  Using cached numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Collecting markdown>=2.6.8 (from tensorboard)
  Using cached Markdown-2.6.11-py2.py3-none-any.whl
Collecting protobuf>=3.4.0 (from tensorboard)
  Using cached protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Requirement already satisfied: six>=1.10.0 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting html5lib==0.9999999 (from tensorboard)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Installing collected packages: werkzeug, html5lib, bleach, numpy, markdown, protobuf, tensorboard
  Found existing installation: html5lib 1.0.1
    Uninstalling html5lib-1.0.1:
      Successfully uninstalled html5lib-1.0.1
  Found existing installation: bleach 2.1.3
    Uninstalling bleach-2.1.3:
      Successfully uninstalled bleach-2.1.3
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

Cuando se ejecuta install --skip-lock y graph no hay señal de esta restricción:

$ pipenv install bleach tensorboard --skip-lock
...

$ pipenv graph | grep html5lib
    - html5lib [required: >=0.999,!=0.9999,!=0.99999,<0.99999999, installed: 0.9999999]
  - html5lib [required: ==0.9999999, installed: 0.9999999]

$ pipenv graph | grep bleach
  - bleach [required: ==1.5.0, installed: 1.5.0]

Eliminar los directorios de caché no cambia el comportamiento. Estoy ejecutando la versión pipenv 11.8.0 . Parece haber alguna interacción con el estado global. Mientras buscaba un ejemplo mínimo, probé la configuración anterior varias veces. Para una carrera, el bloqueo funcionó. Sin embargo, no pude reproducir este comportamiento.

Más detalles:

$ pipenv --version
pipenv, version 11.8.0

$ pipenv graph
tensorboard==1.7.0
  - bleach [required: ==1.5.0, installed: 1.5.0]
    - html5lib [required: !=0.99999,!=0.9999,>=0.999,<0.99999999, installed: 0.9999999]
      - six [required: Any, installed: 1.11.0]
    - six [required: Any, installed: 1.11.0]
  - html5lib [required: ==0.9999999, installed: 0.9999999]
    - six [required: Any, installed: 1.11.0]
  - markdown [required: >=2.6.8, installed: 2.6.11]
  - numpy [required: >=1.12.0, installed: 1.14.2]
  - protobuf [required: >=3.4.0, installed: 3.5.2.post1]
    - setuptools [required: Any, installed: 39.0.1]
    - six [required: >=1.9, installed: 1.11.0]
  - six [required: >=1.10.0, installed: 1.11.0]
  - werkzeug [required: >=0.11.10, installed: 0.14.1]
  - wheel [required: >=0.26, installed: 0.31.0]
webencodings==0.5.1


$ cat Pipfile 
[[source]]

url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"


[packages]

bleach = "*"
tensorboard = "*"


[dev-packages]



[requires]

python_version = "3.6"

$ pipenv lock --clear --verbose
Locking [dev-packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:

Finding the best candidates:

Finding secondary dependencies:
------------------------------------------------------------
Result of round 1: stable, done

Locking [packages] dependencies…
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:
  bleach
  tensorboard

Finding the best candidates:
  found candidate bleach==2.1.3 (constraint was <any>)
  found candidate tensorboard==1.7.0 (constraint was <any>)

Finding secondary dependencies:
  tensorboard==1.7.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"
  bleach==2.1.3             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2                           
Current constraints:
  bleach==1.5.0
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate bleach==1.5.0 (constraint was ==1.5.0)
Using pip: -i https://pypi.python.org/simple

                          ROUND 1                           
Current constraints:
  bleach
  tensorboard

Finding the best candidates:
  found candidate bleach==2.1.3 (constraint was <any>)
  found candidate tensorboard==1.7.0 (constraint was <any>)

Finding secondary dependencies:
  bleach==2.1.3             requires html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre, six
  tensorboard==1.7.0        requires bleach==1.5.0, html5lib==0.9999999, markdown>=2.6.8, numpy>=1.12.0, protobuf>=3.4.0, six>=1.10.0, werkzeug>=0.11.10, wheel>=0.26; python_version >= "3"; python_version >= "3"

New dependencies found in this round:
  adding ['bleach', '==1.5.0', '[]']
  adding ['html5lib', '!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre', '[]']
  adding ['markdown', '>=2.6.8', '[]']
  adding ['numpy', '>=1.12.0', '[]']
  adding ['protobuf', '>=3.4.0', '[]']
  adding ['six', '>=1.10.0', '[]']
  adding ['werkzeug', '>=0.11.10', '[]']
  adding ['wheel', '>=0.26', '[]']
Removed dependencies in this round:
Unsafe dependencies in this round:
------------------------------------------------------------
Result of round 1: not stable

                          ROUND 2                           
Current constraints:
  bleach==1.5.0
  html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
  markdown>=2.6.8
  numpy>=1.12.0
  protobuf>=3.4.0
  six>=1.10.0
  tensorboard
  werkzeug>=0.11.10
  wheel>=0.26

Finding the best candidates:
  found candidate bleach==1.5.0 (constraint was ==1.5.0)

INFO:pip9._vendor.requests.packages.urllib3.connectionpool:Starting new HTTPS connection (1): pypi.python.org
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1
Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

De acuerdo, mirando esto cuidadosamente, este es un conflicto de dependencia legítimo. html5lib>=0.99999999pre es un número mayor que html5lib==0.9999999 por lo que esto no se puede resolver. Simplemente coloque tensorboard en la sección dev-packages por ahora y pipenv install —dev — pipenv favorecerá la resolución sin desarrollo de esta manera

Gracias por la solución. Voy a intentarlo.

Lo que me desconcierta: ¿por qué html5lib>=0.99999999pre incluso aparece como una restricción? Tensorboard corrige bleach==1.5.0 . Por lo tanto, el paquete bleach adicional pasado a pipenv install no debería afectar el gráfico de dependencia, ¿no es así?

Concretamente: dado que tensorboard corrige bleach==1.5.0 , esperaría que el gráfico de dependencia para ambas llamadas sea exactamente el mismo:

pipenv install tensorboard

pipenv install bleach tensorboard

Lo hace porque lo tiene en la lista primero, lo que podría solucionarse si cambia el orden. No estoy seguro. Pruébalo también y avísame

Si agrego lejía a la línea de comando, falla (las dos primeras opciones). Si solo instalo tensorboard, funciona (última opción). La salida de pipenv está dentro de los bloques de detalles.

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile 
$ pipenv install tensorboard bleach

# fails

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting six>=1.10.0 (from tensorboard)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: six, html5lib, werkzeug, markdown, numpy, protobuf, bleach, tensorboard
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 six-1.11.0 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Installing bleach…
Requirement already satisfied: bleach in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages
Requirement already satisfied: six in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from bleach)
Requirement already satisfied: html5lib!=0.9999,!=0.99999,<0.99999999,>=0.999 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from bleach)

Adding bleach to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile
$ pipenv install bleach tensorboard 

# fails

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing bleach…
Collecting bleach
  Downloading bleach-2.1.3-py2.py3-none-any.whl
Collecting html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre (from bleach)
  Downloading html5lib-1.0.1-py2.py3-none-any.whl (117kB)
Collecting six (from bleach)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting webencodings (from html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,>=0.99999999pre->bleach)
  Downloading webencodings-0.5.1-py2.py3-none-any.whl
Installing collected packages: six, webencodings, html5lib, bleach
Successfully installed bleach-2.1.3 html5lib-1.0.1 six-1.11.0 webencodings-0.5.1

Adding bleach to Pipfile's [packages]…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: six>=1.10.0 in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: werkzeug, markdown, html5lib, bleach, numpy, protobuf, tensorboard
  Found existing installation: html5lib 1.0.1
    Uninstalling html5lib-1.0.1:
      Successfully uninstalled html5lib-1.0.1
  Found existing installation: bleach 2.1.3
    Uninstalling bleach-2.1.3:
      Successfully uninstalled bleach-2.1.3
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock (d84f24) out of date, updating to (930330)…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…

Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  You can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Could not find a version that matches html5lib!=1.0b1,!=1.0b2,!=1.0b3,!=1.0b4,!=1.0b5,!=1.0b6,!=1.0b7,!=1.0b8,==0.9999999,>=0.99999999pre
Tried: 1.0-reupload, 0.2, 0.9, 0.10, 0.11, 0.11.1, 0.90, 0.95, 0.99, 0.999, 0.9999, 0.99999, 0.999999, 0.9999999, 0.99999999, 0.999999999, 0.999999999, 1.0b1, 1.0b2, 1.0b3, 1.0b5, 1.0b6, 1.0b7, 1.0b8, 1.0b9, 1.0b10, 1.0b10, 1.0.1, 1.0.1

$ rm -rf ~/Library/Caches/pip* ~/.virtualenvs/foo-i7B_Qy-I Pipfile 
$ pipenv install tensorboard

# works

Creating a virtualenv for this project…
Using /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6 (3.6.4) to create virtualenv…
⠋Already using interpreter /usr/local/Cellar/pipenv/11.8.0/libexec/bin/python3.6
Using real prefix '/usr/local/Cellar/python/3.6.4_4/Frameworks/Python.framework/Versions/3.6'
New python executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python3.6
Also creating executable in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/bin/python
Installing setuptools, pip, wheel...done.

Virtualenv location: /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I
Creating a Pipfile for this project…
Installing tensorboard…
Collecting tensorboard
  Downloading tensorboard-1.7.0-py3-none-any.whl (3.1MB)
Collecting markdown>=2.6.8 (from tensorboard)
  Downloading Markdown-2.6.11-py2.py3-none-any.whl (78kB)
Requirement already satisfied: wheel>=0.26; python_version >= "3" in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from tensorboard)
Collecting bleach==1.5.0 (from tensorboard)
  Downloading bleach-1.5.0-py2.py3-none-any.whl
Collecting html5lib==0.9999999 (from tensorboard)
  Downloading html5lib-0.9999999.tar.gz (889kB)
Collecting numpy>=1.12.0 (from tensorboard)
  Downloading numpy-1.14.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.7MB)
Collecting werkzeug>=0.11.10 (from tensorboard)
  Downloading Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
Collecting six>=1.10.0 (from tensorboard)
  Downloading six-1.11.0-py2.py3-none-any.whl
Collecting protobuf>=3.4.0 (from tensorboard)
  Downloading protobuf-3.5.2.post1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.2MB)
Requirement already satisfied: setuptools in /Volumes/Home/.local/share/virtualenvs/foo-i7B_Qy-I/lib/python3.6/site-packages (from protobuf>=3.4.0->tensorboard)
Building wheels for collected packages: html5lib
  Running setup.py bdist_wheel for html5lib: started
  Running setup.py bdist_wheel for html5lib: finished with status 'done'
  Stored in directory: /Volumes/Home/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built html5lib
Installing collected packages: markdown, six, html5lib, bleach, numpy, werkzeug, protobuf, tensorboard
Successfully installed bleach-1.5.0 html5lib-0.9999999 markdown-2.6.11 numpy-1.14.2 protobuf-3.5.2.post1 six-1.11.0 tensorboard-1.7.0 werkzeug-0.14.1

Adding tensorboard to Pipfile's [packages]…
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…
Updated Pipfile.lock (d84f24)!
Installing dependencies from Pipfile.lock (d84f24)…
  🐍   ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 9/9 — 00:00:04
To activate this project's virtualenv, run the following:
 $ pipenv shell

@techalchemy gracias de nuevo por el trabajo. Resolvió mi problema real (instalar jupyter + tensorflow): puse jupyter en los paquetes de desarrollo y mantuve tensorflow en los paquetes de producción. De esta manera, todos los paquetes se pueden bloquear.